近年来,遥感图像模拟的研究广泛地展开,利用图像模拟技术获取的大量仿真遥感图像,为其他遥感信息的论证与评价提供了有效的参考.本文介绍了图像模拟技术的发展现状,及SAR、光学遥感图像的模拟方法,分析了各种模拟方法的特点与差异,指出各种方法在生成模拟图像时的局限性,最后提出了基于宽光谱遥感数据的细分光谱遥感图像模拟的构想.
Study on simulation of remote sensing image has been widely carried out recently, and simulation images provide useful reference for the evaluation of other remote sensing information. This paper summarizes the development of the technique in image simulation and introduces simulation techniques applied to SAR and optical image. The characteristics of different simulation methods and limitations to the image product processing are compared and analyzed. The characteristics of spectrum are very effective to recognize different kinds of objects. Spectral matching is done by comparing a reference spectrum ( i.e., a laboratory or pixel spectrum of which the type has been known ) with a test spectrum, and their differences are calculated, so as to confirm the type of object. Finally, based on spectral matching algorithm the idea of acquiring high spectral resolution image from low spectral resolution image is brought forward. The results indicate that the simulation image well reflects the information of original RS image, and the accuracy is satisfactory.